Digital Communication SystemsOffers the most complete, up-to-date coverage available on the principles of digital communications. Focuses on basic issues, relating theory to practice wherever possible. Numerous examples, worked out in detail, have been included to help the reader develop an intuitive grasp of the theory. Topics covered include the sampling process, digital modulation techniques, error-control coding, robust quantization for pulse-code modulation, coding speech at low bit radio, information theoretic concepts, coding and computer communication. Because the book covers a broad range of topics in digital communications, it should satisfy a variety of backgrounds and interests. |
Contents
| 1 | |
| 13 | |
Probability Theory and Bayesian Inference | 87 |
Stochastic Processes | 145 |
Information Theory | 207 |
Conversion of Analog Waveforms into Coded Pulses | 267 |
Signaling over AWGN Channels | 323 |
Signaling over Bandlimited Channels | 445 |
D Method of Lagrange Multipliers | A-19 |
E Information Capacity of MIMO Channels | A-21 |
F Interleaving | A-29 |
G The PeakPower Reduction Problemin OFDM | A-35 |
H Nonlinear SolidState Power Amplifiers | A-39 |
I Monte Carlo Integration | A-45 |
J MaximalLength Sequences | A-47 |
K Mathematical Tables | A-55 |
Signaling over Fading Channels | 501 |
ErrorControl Coding | 577 |
A Advanced Probabilistic Models | A-1 |
B Bounds on the QFunction | A-11 |
C Bessel Functions | A-13 |
Glossary | 61 |
Bibliography | B-1 |
Index | 11 |
Credits | 21 |
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Common terms and phrases
amplitude antennas assume autocorrelation function AWGN AWGN channel bandwidth binary PSK binary symmetric channel carrier channel noise channel output Chapter code vector codeword computation conditional probability Consider convolutional code correlation corresponding defined denote described differential entropy discrete memoryless distribution encoder entropy equal equation example filter follows formula Fourier transform frequency Gaussian Hence Hilbert transform impulse response input interleaver L-value LDPC codes likelihood linear low-pass matrix message bits message points message signal modulation narrowband observation vector operation orthogonal parameter parity-check phase polynomial power spectral density probability density function probability of symbol process X(t pulse QPSK quadrature components quantization random variable ratio received signal result sample shown in Figure signal s(t spectrum stationary process statistical statistically independent stochastic process subchannels symbol error theorem transmission transmitted signal trellis turbo codes variance waveform weakly stationary process zero mean